Placement of thermal vias in 3-D ICs using various thermal objectives

TLDR

Thermal issues in ICs are increasingly problematic, especially in 3‑D ICs, and thermal vias can reduce effective thermal resistance but consume routing space, necessitating algorithms that place them efficiently. The study aims to develop an algorithm that assigns thermal vias to specific 3‑D IC regions to minimize via count while maximizing thermal impact. Using finite‑element analysis, the algorithm iteratively adjusts via conductivities to meet a target thermal objective, applicable to various objectives such as limiting maximum temperature. The approach reduces via usage by 49 % for a 47 % drop in peak temperature and by 57 % for a 68 % drop in peak temperature gradient compared to uniform placement, achieving similar gains for other objectives.

Abstract

As thermal problems become more evident, new physical design paradigms and tools are needed to alleviate them. Incorporating thermal vias into integrated circuits (ICs) is a promising way of mitigating thermal issues by lowering the effective-thermal resistance of the chip. However, thermal vias take up valuable routing space, and therefore, algorithms are needed to minimize their usage while placing them in areas where they would make the greatest impact. With the developing technology of three-dimensional integrated circuits (3-D ICs), thermal problems are expected to be more prominent, and thermal vias can have a larger impact on them than in traditional two-dimensional integrated circuits (2-D ICs). In this paper, thermal vias are assigned to specific areas of a 3-D IC and used to adjust their effective-thermal conductivities. The method, which uses finite-element analysis (FEA) to calculate temperatures quickly during each iteration, makes iterative adjustments to these thermal conductivities in order to achieve a desired thermal objective and is general enough to handle a number of different thermal objectives such as achieving a desired maximum operating temperature. With this method, 49% fewer thermal vias are needed to obtain a 47% reduction in the maximum temperatures, and 57% fewer thermal vias are needed to obtain a 68% reduction in the maximum thermal gradients than would be needed using a uniform distribution of thermal vias to obtain these same thermal improvements. Similar results were seen for other thermal objectives, and the method efficiently achieves its thermal objective while minimizing the thermal-via utilization.